Abstract
Online health communities (OHCs) have now become a valuable platform for people to seek health-related information. Knowledge sharing and community promotion in the OHCs are critical to sustain their continuous use and improve their engagement. This study aims to investigate factors influencing knowledge sharing and community promotion in the OHC in the perspectives of social support, commitment-trust, and trust transfer theory. A questionnaire survey is employed as a collection data technique. The study results reveal that informational support influences trust transfer, trust towards community and members of the community. In addition, emotional support has a positive impact on community commitment and trust in community members but not in the community itself. Further, community commitment is positively related to both knowledge sharing and community promotion. While trust towards the community is only positively related to community promotion, trust towards members of the community does not have a positive influence on both knowledge sharing and community promotion. This study contributes to the understanding of the relationships among social support, community commitment, and trust transfer towards knowledge sharing and community promotion in the OHC. The findings of the study provide a research model that could be implemented in other contexts that share similar technology landscape.
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Acknowledgement
This research has been supported by PDUPT as part of the project entitled “Pengembangan Konsep Tourism Information Service Untuk Smart Experience Pariwisata di Indonesia”. It also has been supported by Ministry of Research, Technology and Higher Education of the Republic of Indonesia through a “Penelitian Kompetitif National – Penelitian Pasca Doktor”.
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Abidin, Z. et al. (2020). Knowledge Sharing and Community Promotion in Online Health Communities: Examining the Relationship Between Social Support, Community Commitment, and Trust Transfer. In: Meiselwitz, G. (eds) Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. HCII 2020. Lecture Notes in Computer Science(), vol 12195. Springer, Cham. https://doi.org/10.1007/978-3-030-49576-3_1
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